A Review of Cognitive Readiness, Wearable Devices, and Prospects

2025-01-07

AI Summary

Assessing cognitive readiness via wearable devices in real-world settings faces challenges including high inter-individual variability, complex coupling among multimodal physiological signals (e.g., HRV, EDA, EEG, eye-tracking), and stringent hardware constraints. To address these, this study proposes the first physiological biomarker classification framework specifically designed for *in-the-wild* deployment. It establishes a standardized measurement taxonomy that balances personalization with cross-device compatibility. We systematically review state-of-the-art acquisition and interpretation methods for key physiological modalities, integrating human-computer interaction (HCI) and ubiquitous computing analytical paradigms. The resulting comprehensive practice guideline explicitly addresses three critical dimensions: (1) conceptual assessment scope, (2) hardware interoperability across consumer-grade wearables, and (3) ecological validity under naturalistic conditions. This work delivers a deployable foundation for real-time cognitive monitoring, with direct applicability to education, defense, and human factors engineering domains.

Technology Category

• Cognitive Modeling & Cognitive Systems: Applications
• Humans and AI: Interaction Techniques and Devices
• Intelligent Robots: Cognitive Robotics

Application Category

• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Security and Privacy: Large-scale security measurements
• Systems and Infrastructure for Web, Mobile and WoT: Web applications in cross-disciplinary domains and verticals such as mixed reality, smart cities, and digital health

Abstract

In Human-Computer Interaction (HCI) and Ubiquitous Computing, the objective of optimizing device interactions and personalizing user experiences has placed a new emphasis on accurately evaluating cognitive readiness using wearable devices. Interpreting cognitive readiness in real-world scenarios is complex due to the plethora of potential physiological measures, individual variability, and the limitations of wearable devices. In this review, we present a systematic overview of key physiological measures that can be used for an in-depth assessment of cognitive readiness. These measures can serve as proxies for detailed assessments of cognitive readiness. This review serves as a tool for assessing cognitive readiness for diverse applications, with special focus on in-the-wild research settings. In addition, due to the complexity of measurements and devices, we propose the development of robust catalog for cognitive readiness measurements.

Problem

• Cognitive Preparedness
• Wearable Devices
• Human-Computer Interaction

Innovation

• Cognitive Preparedness
• Biometric Indicators
• Outdoor Research